Search Results - subject:"imprecise probabilities"

Navigating Ambiguity: Imprecise Probabilities and the Updating of Disease Risk Beliefs

Kerwin, Jason; Pandey, Divya - 2023

their beliefs. We study these "imprecise probabilities", also known as ambiguous beliefs. We show that imprecision is … can map our data onto both a standard Bayesian model and a version that is designed to handle imprecise probabilities …; these models can match some features of our data but not all of them. Imprecise probabilities have important implications …

Persistent link: https://www.econbiz.de/10014469382

Navigating ambiguity : imprecise probabilities and the updating of disease risk beliefs

Kerwin, Jason; Pandey, Divya - 2023

Persistent link: https://www.econbiz.de/10014390526

Decision making with imprecise probabilities and utilities by means of statistical preference and stochastic dominance

Montes, Ignacio; Miranda, Enrique; Montes, Susana - In: European Journal of Operational Research 234 (2014) 1, pp. 209-220

A problem of decision making under uncertainty in which the choice must be made between two sets of alternatives instead of two single ones is considered. A number of choice rules are proposed and their main properties are investigated, focusing particularly on the generalizations of stochastic...

Persistent link: https://www.econbiz.de/10010730172

Classification with decision trees from a nonparametric predictive inference perspective

Abellán, Joaquín; Baker, Rebecca M.; Coolen, Frank P.A.; … - In: Computational Statistics & Data Analysis 71 (2014) C, pp. 789-802

. This model is applied to an established procedure for building classification trees using imprecise probabilities and …

Persistent link: https://www.econbiz.de/10011056583

Decision making with imprecise probabilities and utilities by means of statistical preference and stochastic dominance

Montes, Ignacio; Miranda, Enrique; Montes, Susana - In: European journal of operational research : EJOR 234 (2014) 1, pp. 209-220

Persistent link: https://www.econbiz.de/10010247333

Aided and unaided decisions with imprecise probabilities in the domain of losses

Budescu, David V.; Broomell, Stephen B.; Lempert, Robert J. - In: EURO Journal on decision processes 2 (2014) 1/2, pp. 31-62

Persistent link: https://www.econbiz.de/10010374231

A nonparametric predictive alternative to the Imprecise Dirichlet Model: the case of a known number of categories

Coolen, F. P. A.; Augustin, Thomas - 2006

Nonparametric Predictive Inference (NPI) is a general methodology to learn from data in the absense of prior knowledge and without adding unjustified assumptions. This paper develops NPI for multinominal data where the total number of possible categories for the data is known. We present the...

Persistent link: https://www.econbiz.de/10010266240

Bayesian learning for a class of priors with prescribed marginals

Held, Hermann; Kriegler, Elmar; Augustin, Thomas - 2006

updating of imprecise probabilities: a weighted maximum likelihood method and a semi-classical method. The former bases …

Persistent link: https://www.econbiz.de/10010266250

Fuzzy optimality based decision making under imperfect information without utility

Aliev, Rafik A.; Pedrycz, Witold; Alizadeh, Akif V.; … - In: Fuzzy optimization and decision making : a journal of … 12 (2013) 4, pp. 357-372

Persistent link: https://www.econbiz.de/10010232677

Scenarios, probability and possible futures

Ha-Duong, Minh - HAL - 2005

This paper provides an introduction to the mathematical theory of possibility, and examines how this tool can contribute to the analysis of far distant futures. The degree of mathematical possibility of a future is a number between O and 1. It quantifies the extend to which a future event is...

Persistent link: https://www.econbiz.de/10008791955